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Results: 105
Number of items: 105
  • Open Access
    de Punder, R. F. A. (2026). Local divergences: With time series applications. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Holstege, F., Wouters, B., van Giersbergen, N., & Diks, C. (2025). Optimizing importance weighting in the presence of sub-population shifts. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://doi.org/10.48550/arXiv.2410.14315
  • Open Access
    Vrugt, J. A., & Diks, C. G. H. (2025). The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation. Entropy, 27(10), Article 999. https://doi.org/10.3390/e27100999
  • Open Access
    Vrugt, J. A., Diks, C. G. H., de Punder, R., & Grünwald, P. (2025). A Sandwich with Water: Bayesian & Frequentist Inference Under Model Misspecification. ARC Geophysical Research, 1, Article 16. https://doi.org/10.5149/ARC-GR.1824
  • Open Access
    Titton, A. (2025). Economic consequencess of environmental catastrophes. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Holstege, F., Wouters, B., van Giersbergen, N., & Diks, C. (2024). Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation. Proceedings of Machine Learning Research, 235, 18568-18610. https://proceedings.mlr.press/v235/holstege24a.html
  • Open Access
    Frunză, S., Rudinac, S., & Diks, C. (2024). Leveraging Query Expansion and Reformulation for Image Retrieval With Large Language and Vision-Language Models. In 21st International Conference on Content-Based Multimedia Indexing: CBMI 2024 : September 18-20, 2024, Reykjavik, Iceland : conference proceedings (pp. 23-29). IEEE. https://doi.org/10.1109/CBMI62980.2024.10859227
  • Open Access
    Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2023). Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data. Empirical Economics, 64(3), 1399–1420. https://doi.org/10.1007/s00181-022-02275-9
  • Open Access
    Meertens, Q. A., Diks, C. G. H., van den Herik, H. J., & Takes, F. W. (2022). Improving the output quality of official statistics based on machine learning algorithms. Journal of Official Statistics, 22(2), 485-508. https://doi.org/10.2478/jos-2022-0023
  • Open Access
    Vrugt, J. A., de Oliveira, D. Y., Schoups, G., & Diks, C. G. H. (2022). On the use of distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking. Journal of Hydrology, 615(Part B), Article 128542. https://doi.org/10.1016/j.jhydrol.2022.128542
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